Optimization of Linear Loading Strategy for Fuel Cell Initiation Based on Gaussian Process Regression Model

Optimization of Linear Loading Strategy for Fuel Cell Initiation Based on Gaussian Process Regression Model

This paper developed a one-dimensional multiphase model to analyze the cold start behavior of fuel cell, focusing on the effects of various parameters such as loading rates, maximum loading current densities, and coolant flow rates. The findings reveal that the loading rate significantly influences...

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Bibliographic Details
Main Authors: Jianbin SU, Shaofang LIN, Yuanxing SHEN, Lei SHI, Chenxi QIU
Format: Article
Language:English
Published: The Electrochemical Society of Japan 2024-10-01
Series:Electrochemistry
Subjects:
cold start
gaussian process regression
loading rate
maximum load current density
coolant flow rate
Online Access:https://www.jstage.jst.go.jp/article/electrochemistry/92/10/92_24-00083/_html/-char/en

Internet

https://www.jstage.jst.go.jp/article/electrochemistry/92/10/92_24-00083/_html/-char/en

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